POST https://management.azure.com/subscriptions/12345678-1234-1234-1234-12345678abc/resourceGroups/exampleResourceGroup/providers/Microsoft.DataFactory/factories/exampleFactoryName/pipelines/examplePipeline/createRun?api-version=2018-06-01&referencePipelineRunId=
{
"OutputBlobNameList": [
"exampleoutput.csv"
]
}
import com.azure.core.management.serializer.SerializerFactory;
import com.azure.core.util.serializer.SerializerEncoding;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
/** Samples for Pipelines CreateRun. */
public final class Main {
/*
* x-ms-original-file: specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/Pipelines_CreateRun.json
*/
/**
* Sample code: Pipelines_CreateRun.
*
* @param manager Entry point to DataFactoryManager.
*/
public static void pipelinesCreateRun(com.azure.resourcemanager.datafactory.DataFactoryManager manager)
throws IOException {
manager
.pipelines()
.createRunWithResponse(
"exampleResourceGroup",
"exampleFactoryName",
"examplePipeline",
null,
null,
null,
null,
mapOf(
"OutputBlobNameList",
SerializerFactory
.createDefaultManagementSerializerAdapter()
.deserialize("[\"exampleoutput.csv\"]", Object.class, SerializerEncoding.JSON)),
com.azure.core.util.Context.NONE);
}
@SuppressWarnings("unchecked")
private static <T> Map<String, T> mapOf(Object... inputs) {
Map<String, T> map = new HashMap<>();
for (int i = 0; i < inputs.length; i += 2) {
String key = (String) inputs[i];
T value = (T) inputs[i + 1];
map.put(key, value);
}
return map;
}
}
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
from azure.identity import DefaultAzureCredential
from azure.mgmt.datafactory import DataFactoryManagementClient
"""
# PREREQUISITES
pip install azure-identity
pip install azure-mgmt-datafactory
# USAGE
python pipelines_create_run.py
Before run the sample, please set the values of the client ID, tenant ID and client secret
of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID,
AZURE_CLIENT_SECRET. For more info about how to get the value, please see:
https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal
"""
def main():
client = DataFactoryManagementClient(
credential=DefaultAzureCredential(),
subscription_id="12345678-1234-1234-1234-12345678abc",
)
response = client.pipelines.create_run(
resource_group_name="exampleResourceGroup",
factory_name="exampleFactoryName",
pipeline_name="examplePipeline",
)
print(response)
# x-ms-original-file: specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/Pipelines_CreateRun.json
if __name__ == "__main__":
main()
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
package armdatafactory_test
import (
"context"
"log"
"github.com/Azure/azure-sdk-for-go/sdk/azidentity"
"github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/datafactory/armdatafactory/v3"
)
// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/tree/main/specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/Pipelines_CreateRun.json
func ExamplePipelinesClient_CreateRun() {
cred, err := azidentity.NewDefaultAzureCredential(nil)
if err != nil {
log.Fatalf("failed to obtain a credential: %v", err)
}
ctx := context.Background()
client, err := armdatafactory.NewPipelinesClient("12345678-1234-1234-1234-12345678abc", cred, nil)
if err != nil {
log.Fatalf("failed to create client: %v", err)
}
res, err := client.CreateRun(ctx, "exampleResourceGroup", "exampleFactoryName", "examplePipeline", &armdatafactory.PipelinesClientCreateRunOptions{ReferencePipelineRunID: nil,
IsRecovery: nil,
StartActivityName: nil,
StartFromFailure: nil,
Parameters: map[string]interface{}{
"OutputBlobNameList": []interface{}{
"exampleoutput.csv",
},
},
})
if err != nil {
log.Fatalf("failed to finish the request: %v", err)
}
// TODO: use response item
_ = res
}
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
const { DataFactoryManagementClient } = require("@azure/arm-datafactory");
const { DefaultAzureCredential } = require("@azure/identity");
/**
* This sample demonstrates how to Creates a run of a pipeline.
*
* @summary Creates a run of a pipeline.
* x-ms-original-file: specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/Pipelines_CreateRun.json
*/
async function pipelinesCreateRun() {
const subscriptionId =
process.env["DATAFACTORY_SUBSCRIPTION_ID"] || "12345678-1234-1234-1234-12345678abc";
const resourceGroupName = process.env["DATAFACTORY_RESOURCE_GROUP"] || "exampleResourceGroup";
const factoryName = "exampleFactoryName";
const pipelineName = "examplePipeline";
const referencePipelineRunId = undefined;
const parameters = {
outputBlobNameList: ["exampleoutput.csv"],
};
const options = {
referencePipelineRunId,
parameters,
};
const credential = new DefaultAzureCredential();
const client = new DataFactoryManagementClient(credential, subscriptionId);
const result = await client.pipelines.createRun(
resourceGroupName,
factoryName,
pipelineName,
options
);
console.log(result);
}
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using System.Xml;
using Azure;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.DataFactory;
using Azure.ResourceManager.DataFactory.Models;
// Generated from example definition: specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/Pipelines_CreateRun.json
// this example is just showing the usage of "Pipelines_CreateRun" operation, for the dependent resources, they will have to be created separately.
// get your azure access token, for more details of how Azure SDK get your access token, please refer to https://learn.microsoft.com/en-us/dotnet/azure/sdk/authentication?tabs=command-line
TokenCredential cred = new DefaultAzureCredential();
// authenticate your client
ArmClient client = new ArmClient(cred);
// this example assumes you already have this FactoryPipelineResource created on azure
// for more information of creating FactoryPipelineResource, please refer to the document of FactoryPipelineResource
string subscriptionId = "12345678-1234-1234-1234-12345678abc";
string resourceGroupName = "exampleResourceGroup";
string factoryName = "exampleFactoryName";
string pipelineName = "examplePipeline";
ResourceIdentifier factoryPipelineResourceId = FactoryPipelineResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, factoryName, pipelineName);
FactoryPipelineResource factoryPipeline = client.GetFactoryPipelineResource(factoryPipelineResourceId);
// invoke the operation
IDictionary<string, BinaryData> parameterValueSpecification = new Dictionary<string, BinaryData>()
{
["OutputBlobNameList"] = BinaryData.FromObjectAsJson(new object[] { "exampleoutput.csv" }),
};
string referencePipelineRunId = null;
PipelineCreateRunResult result = await factoryPipeline.CreateRunAsync(parameterValueSpecification: parameterValueSpecification, referencePipelineRunId: referencePipelineRunId);
Console.WriteLine($"Succeeded: {result}");
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
az datafactory pipeline create-run --factory-name "exampleFactoryName" --parameters "{\"OutputBlobNameList\":[\"exampleoutput.csv\"]}" --name "examplePipeline" --resource-group "exampleResourceGroup"
Click here to learn more about the Azure CLI command.